Posted in Highlights from 2019

Highlights of Summer Seminar in Phil Stat 2019

Final Schedule

Special Invited Speakers

Participants

FROM 2019: GOALS AND INSTRUCTIONS (3/9/19)

OVERVIEW

SELECTION CRITERIA

APPLICATION INSTRUCTIONS   (PDF)

STIPEND, EXPECTATIONS, AND CONDITIONS OF AWARD

CHECKLIST OF APPLICATION MATERIALS

 

OVERVIEW

We will offer a 2-week immersive seminar on Philosophy of Statistics (PhilStat) at Virginia Tech for faculty and post-docs in philosophy who wish to acquire or strengthen their background in PhilStat as it relates to philosophical problems of evidence and inference, to today’s statistical crisis of replication, and to associated evidence-policy debates. We also invite social scientists and methodology researchers interested in strengthening their philosophical scholarship in this arena. A total of 12-15 applicants will be selected. Given our goals, we anticipate approximately 2/3 will be philosophers, but we are not applying any rigid rules. We will consider up to 2 advanced Ph.D. students working on a dissertation that is directly in this area. Update (3/3/19): Please see important update in FAQ (5).

All accepted participants will receive private housing with kitchen facilities (Marriott Residence, Blacksburg) and a stipend of $1,000 (in 2 installments). See STIPENDS and [1].

Our primary goal is to strengthen Phil Stat research and teaching in Philosophy programs (by incorporating PhilStat). However, we wish also to enable statistical practitioners and researchers on methods to gain a greater understanding of the philosophical dimensions of statistical debates, as well as a facility in the conceptual and critical skills included under the umbrella of Phil Stat. Today’s debates are intertwined with philosophical terms that often remain vague, such as evidence, validity, inference, realism, reliability, rationality, explanation, induction, confirmation, and falsification. This hampers communication among various stakeholders, making it difficult to even see where they agree. Thus we also encourage interested social scientists and methodology researchers to apply.

Philosophy of Statistics  (Phil Stat), broadly understood
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